CIO

FEBRUARY 20, 2024

While cloud risk analysis should be no different than any other third-party risk analysis, many enterprises treat the cloud more gently, taking a less thorough approach. Much of that is because enterprises tend to use the largest cloud platforms available — with AWS, Microsoft Azure, and Google Cloud Platform topping that list.

Enterprise 326

Enterprise Strategy Cloud Technical Review 326

CIO

SEPTEMBER 2, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Business systems analyst.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

CIO

AUGUST 31, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Business systems analyst.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

Datavail

JULY 7, 2022

The trends are clear: more and more companies are adopting cloud analytics to satisfy their increasing need for cutting-edge business insights. For example, the global cloud analytics market size was $19.04 There are many explanations for why businesses of all sizes and industries are shifting to cloud analytics.

Analytics 52

Analytics Artificial Inteligence Cloud Artificial Intelligence 52

CIO

MAY 8, 2024

AI-powered data integration tools leverage advanced algorithms and predictive analytics to automate and streamline the data integration process. This approach offers several benefits, including scalability, cost-efficiency, and reduced maintenance overhead, as the cloud provider handles the infrastructure management and scaling.

Innovation 253

Innovation Artificial Inteligence Data Serverless 253

Perficient

DECEMBER 7, 2023

These range from cloud-based solutions like AWS, Google Cloud, and Azure to specific BI tools like Tableau, Power BI, Pyramid Analytics, and Looker. This means setting up systems for real-time data analysis, predictive analytics, and automated reporting.

How To 52

How To Scalability Analytics Google Cloud 52

ParkMyCloud

AUGUST 4, 2020

During its virtual Google Cloud Next ’20 “On Air” series, Google announced the introduction of BigQuery Omni. This is an extension of its existing BigQuery data analytics solution to now analyze data in multiple public clouds, currently including Google Cloud and Amazon Web Services (AWS), with Microsoft Azure coming soon.

Google Cloud 57

Google Cloud Cloud Azure AWS 57

Datavail

DECEMBER 2, 2021

One of the main reasons we like to recommend Snowflake to our customers is that it can run on AWS, Azure, or Google Cloud. You’re not tied into any specific cloud technology or brand so you can select the one that best fits your architecture, budget, and functionality requirements. You Pick the Platform.

Data 98

Data Analytics Azure Storage 98

Existek

JUNE 20, 2023

It continued expanding beyond databases and authentication to include services like Firebase Cloud Messaging, Firebase Hosting, Firebase Storage, Firebase Analytics, Firebase Performance Monitoring, etc. Firebase offers cloud storage for storing and serving user-generated content such as images, videos, and other files.

Technical Review 52

Technical Review Software Review Authentication Scalability 52

Openxcell

JANUARY 6, 2023

Instead of making substantial investments in databases, software, and hardware, businesses prefer to access their computing power over the internet or in the cloud. Just a few of the existing cloud services include servers, storage, databases, networking, software, analytics, and business intelligence. Private cloud.

Architecture 52

Architecture Cloud Storage Google Cloud 52

CIO

JULY 13, 2022

One of the critical requirements that has materialized is the need for companies to take control of their data flows from origination through all points of consumption both on-premise and in the cloud in a simple, secure, universal, scalable, and cost-effective way.

System 221

System Enterprise Data Cloud 221

Mobilunity

MAY 20, 2021

Usually, cloud developers focus on working with one particular system as it requires in-depth knowledge. So, if a company plans on building an application based on Amazon’s hosting services, it needs an AWS cloud engineer. But if you choose Microsoft instead, you’ll need an Azure cloud engineer for that. Cloud Architect.

Engineering 52

Engineering Cloud Google Cloud Azure 52

Agile Engine

FEBRUARY 20, 2019

As Dieter Bohn from the Verge pointed out, nowadays, Google can’t string five words together without saying “AI”. Google Cloud, Microsoft Azure, and AWS are some of the biggest brands in machine learning as a service (MLaaS). Cloud EDW (Data Warehouse). Google BigQuery. Google Cloud Storage.

Big Data 71

Big Data Data Google Cloud Azure 71

O'Reilly Media - Ideas

JUNE 4, 2019

Fundamentals of Machine Learning and Data Analytics , July 10-11. Real-Time Streaming Analytics and Algorithms for AI Applications , July 17. Text Analysis for Business Analytics with Python , June 12. Business Data Analytics Using Python , June 25. Scalable Data Science with Apache Hadoop and Spark , July 16.

Course 62

Course Training Artificial Inteligence Software Review 62

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

Apiumhub

MARCH 12, 2024

Implementation: Using edge computing frameworks like AWS IoT Greengrass or Azure IoT Edge to deploy machine learning models directly on edge devices for real-time data analysis. This event-driven model enhances efficiency, scalability, and cost-effectiveness.

Trends 52

Trends Innovation Cloud Serverless 52

Openxcell

NOVEMBER 27, 2023

A cloud migration involves moving an organization’s digital assets, IT resources, services, databases, and applications from an on-premises legacy infrastructure into a public cloud hyperscale environment such as AWS, GCP, or Azure. Data migration involves moving both data and analytics workloads.

Strategy 52

Strategy Tools Cloud Disaster Recovery 52

O'Reilly Media - Ideas

JUNE 5, 2019

Fundamentals of Machine Learning and Data Analytics , July 10-11. Real-Time Streaming Analytics and Algorithms for AI Applications , July 17. Text Analysis for Business Analytics with Python , June 12. Business Data Analytics Using Python , June 25. Scalable Data Science with Apache Hadoop and Spark , July 16.

Course 47

Course Training Artificial Inteligence Software Review 47

Kentik

MAY 23, 2019

It’s how we began to set the bar for what modern network analytics should look like. In just a few short years, we’ve proven that flow-based analytics (with formats like NetFlow, sFlow, and JFlow) give enterprises and service providers powerful insights into network performance, availability, security, and much more.

.Net 85

.Net Data Firewall WAN 85

O'Reilly Media - Ideas

APRIL 3, 2019

Introduction to Google Cloud Platform , June 3-4. Fraud Analytics Using Python , April 30. Introduction to Google Cloud Platform , June 3-4. Beginner’s Guide to Writing AWS Lambda Functions in Python , May 7. Scalable Concurrency with the Java Executor Framework , May 30. Getting Unstuck , June 3.

Course 46

Course Artificial Inteligence Training Google Cloud 46

Cloudera

JUNE 2, 2022

One of the critical requirements that has materialized is the need for companies to take control of their data flows from origination through all points of consumption both on-premise and in the cloud in a simple, secure, universal, scalable, and cost-effective way.

System 108

System Enterprise Data Cloud 108

Perficient

MAY 10, 2023

In today’s business world, companies are increasingly turning to cloud computing to power their operations. With the benefits of scalability, flexibility, and cost savings, cloud computing has become the go-to solution for businesses looking to stay competitive in today’s fast-paced marketplace. What is FinOps?

Cloud 69

Cloud Agile Azure Budget 69

Mobilunity

NOVEMBER 17, 2021

Let’s take a look at the different Platform as a Service solutions providers, PaaS examples, and the functionality they include: Google Cloud. Google’s App Engine is a cloud computing integration Platform as a Service for developing and hosting web apps in Google-managed data centers. Easy scalability.

Software Review 52

Software Review How To Systems Review Google Cloud 52

Altexsoft

JUNE 29, 2021

This position requires a solid grasp of statistics, analytics, and reporting methods rather than proficiency in programming languages. To automate and manage ML processes, they develop a scalable system known as a machine learning pipeline. Ma chine learning on AWS. Machine Learning and Artificial Intelligence on Google Cloud.

Artificial Inteligence 105

Artificial Inteligence Machine Learning Engineering Data Engineering 105

Datavail

SEPTEMBER 17, 2019

Other standard Atlas offerings include self-healing clusters, global scalability, virtual private cloud (VPC) security, and easy-to-use performance optimization tools which can be visualized with real-time dashboards. Performing real-time or predictive business analytics with minimal latency. Is MongoDB a Better Choice?

Cloud 40

Cloud Azure Big Data Storage 40

Openxcell

MAY 12, 2023

Millions of dollars are spent each month on public cloud companies like Amazon Web Services, Microsoft Azure, and Google Cloud by companies of all sizes. These three cloud services are the most secure, adaptable, and dependable cloud services that dominate the public cloud market.

Google Cloud 52

Google Cloud Azure AWS Cloud 52

Kentik

OCTOBER 31, 2018

In a nutshell, cloud providers’ responsibility is “ of the cloud” while a cloud customer’s responsibility is “ in the cloud.”. As a reminder, public cloud promises many great benefits including: deployment agility, operational efficiency, rapid scalability, high performance, and above all else, improved ROI.

Cloud 45

Cloud AWS Azure Google Cloud 45

Altexsoft

MAY 20, 2020

Source: IoT Analytics. Source: IoT Analytics. The list of top five fully-fledged solutions in alphabetical order is as follows : Amazon Web Service (AWS) IoT platform , Cisco IoT , Google Cloud IoT , IBM Watson IoT platform , and. AWS IoT Platform: the best place to build smart cities. Source: AWS.

IoT 141

IoT Azure AWS Transportation 141

CIO

NOVEMBER 4, 2022

To achieve what the company would need going forward, McCowan knew Regeneron would have to undergo a major transformation and build a more enhanced data pipeline that could inject data from up to 1,000 data sources in “analytical ready formats” for both the business and the scientists to consume, the CIO says.

Pharmaceuticals 309

Pharmaceuticals Technical Review AWS Machine Learning 309

Palo Alto Networks

JULY 11, 2019

Banking, investment management and FinTech have continually invested in technology upgrades, data analytics and differentiated product offerings in an increasingly competitive and evolving investment landscape. A recent Accenture survey found 90% of banking respondents stating that cloud enables and accelerates innovative adoption.

Cloud 44

Cloud Compliance DevOps Agile 44

Trigent

FEBRUARY 9, 2022

A managed live streaming service to create interactive video experiences and a content delivery network service to deliver content and applications with low latency and high transfer speed has helped it improve agility, scalability, and savings. Cloud can enable standardization of infrastructure and platform to recover quickly from outages.

Cloud 52

Cloud Enterprise Fractional CTO Budget 52

Altexsoft

JUNE 29, 2021

Scalability. EDAs allow for great horizontal scalability as one event may trigger responses from multiple systems with different needs and providing different results. Kafka provides its pub/sub functionality in a highly scalable, fault-tolerant, and secure fashion, allowing for handling trillions of events a day. AWS Kinesis.

Architecture 75

Architecture Microservices IoT Scalability 75

Mobilunity

AUGUST 3, 2021

Technologies that have expanded Big Data possibilities even further are cloud computing and graph databases. The cloud offers excellent scalability, while graph databases offer the ability to display incredible amounts of data in a way that makes analytics efficient and effective. Cloud computing. Data warehousing.

Big Data 52

Big Data Data Engineering Engineering Data 52

CircleCI

SEPTEMBER 7, 2021

For many organizations, cloud computing has become an indispensable tool for communication and collaboration across distributed teams. Whether you are on Amazon Web Services (AWS), Google Cloud, or Azure. the cloud can reduce costs, increase flexibility, and optimize resources. Big data analytics.

Cloud 52

Cloud Backup Disaster Recovery Serverless 52

Existek

NOVEMBER 22, 2021

Web apps have proven themselves as good performing, quickly responding, scalable, and easy to maintain. First of all, enterprise solutions have to be highly scalable and perform well. Cloud Platforms. Google Cloud is the youngest candidate. It appeared in 2011 and is now one of the biggest cloud providers.

Web Development 52

Web Development UI/UX Weak Development Team Enterprise 52

Cloudera

MARCH 14, 2023

For example, a developer may be asked to tap into the data of a newly acquired application, parsing and transforming it before delivering it to the business’s favorite analytical system where it can be joined with existing data sets. DataFlow Functions are supported on AWS Lambda, Azure Functions, and Google Cloud Functions.

Agile 88

Agile Development Data Serverless 88

Data Virtualization

SEPTEMBER 23, 2021

Organizations are increasingly turning to the cloud to take advantage of scalable yet elastic computing and storage resources. The availability and economics of the cloud for flexible and scalable high-performance environments has radically changed the way information architects envision the.

Cloud 52

Cloud Data Scalability Virtualization 52